loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Florian Herrmann ; Steffen Krüger and Philipp Lensing

Affiliation: Osnabrück University AS, Albrechtstraße 30, Osnabrück, Germany

Keyword(s): Motion Capture, Inverse Kinematics, Virtual Reality.

Abstract: With human motion capture being used in various research fields and the entertainment industry, suitable systems need to be selected based on individual use cases. In this paper we propose a novel software framework that is capable to simulate, compare, and evaluate any motion capturing system in a purely virtual way. Given an avatar as input character, a user can create an individual tracking setup by simply placing trackers on the avatars skin. The physical behavior of the placed trackers is configurable and extendable to simulate any existing tracking device. Thus it is possible e.g. to add or modify drift, noise, latency, frequency, or any other parameter of the virtual trackers. Additionally it is possible to integrate an individual inverse kinematics (IK) solving system which is steered by the placed trackers. This allows to compare not only different tracker setups, but also different IK solving systems. Finally users can plug-in custom error metrics for comparison of the calc ulated body poses against ground truth poses. To demonstrate the capabilities of our proposed framework, we present a proof of concept by implementing a simplified simulation model of the HTC vive tracking system to control the VRIK solver from the FinalIK plugin and calculate error metrics for positional, angular, and anatomic differences. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.93.162.26

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Herrmann, F.; Krüger, S. and Lensing, P. (2021). MoCaCo: A Simulator Framework for Motion Capture Comparison. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 193-200. DOI: 10.5220/0010239101930200

@conference{grapp21,
author={Florian Herrmann. and Steffen Krüger. and Philipp Lensing.},
title={MoCaCo: A Simulator Framework for Motion Capture Comparison},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP},
year={2021},
pages={193-200},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010239101930200},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - GRAPP
TI - MoCaCo: A Simulator Framework for Motion Capture Comparison
SN - 978-989-758-488-6
IS - 2184-4321
AU - Herrmann, F.
AU - Krüger, S.
AU - Lensing, P.
PY - 2021
SP - 193
EP - 200
DO - 10.5220/0010239101930200
PB - SciTePress